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simplewiki_upsampled_tom – AI Model by jennhu | AlphaNeural AI

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jennhu/
simplewiki_upsampled_tom

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allenai/OLMo-7B-0724-hf

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simplewiki_upsampled_tom

This model is a fine-tuned version of allenai/OLMo-7B-0724-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.6915

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.6.0
Datasets 3.3.2
Tokenizers 0.21.0